Title

Spatial-Temporal Fusion For High Accuracy Depth Maps Using Dynamic Mrfs

Keywords

Data fusion; Global optimization; MRFs; Stereo; Time-of-flight sensor

Abstract

Time-of-flight range sensors and passive stereo have complimentary characteristics in nature. To fuse them to get high accuracy depth maps varying over time, we extend traditional spatial MRFs to dynamic MRFs with temporal coherence. This new model allows both the spatial and the temporal relationship to be propagated in local neighbors. By efficiently finding a maximum of the posterior probability using Loopy Belief Propagation, we show that our approach leads to improved accuracy and robustness of depth estimates for dynamic scenes. © 2006 IEEE.

Publication Date

2-26-2010

Publication Title

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volume

32

Issue

5

Number of Pages

899-909

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/TPAMI.2009.68

Socpus ID

77949873218 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/77949873218

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